What is the LIN stock price forecast?

LIN is forecasted using our adaptive model ensemble that generates 7-day, 14-day, and 28-day price predictions with confidence intervals and expected zone analysis. View the latest LIN forecast on this page.

Is LIN bullish or bearish?

Our current trade bias for LIN is derived from the position of the current price relative to the forecasted expected zone. When price is above the zone midpoint, the bias is bullish; below, bearish. Check the forecast card above for the current signal.

How accurate are LIN stock predictions?

Sigmanomics tracks all forecast accuracy transparently. View directional accuracy and zone containment metrics for LIN and all other instruments on our Performance page at sigmanomics.com/performance.

LIN Stock Forecast — Price Prediction & Analysis

Sigmacast: Mixed Market Signal

Models disagree — wait for clearer setup

LIN

stocks

Current Price

May 02, 2026

Market Closed

508.01

Actual

April 02, 2026

—

1 Month Ago

May 02, 2025

—

1 Year Ago

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Signal Tracker Record / PerformancePast Performance →

Forecasts generated by Sigmanomics engine. Not financial advice.

Market Overview The LIN stock closed at 508.01 on May 1, 2026, reflecting a gain of 1.41% from the previous close of 500.95. Over the past 30 days, the stock has experienced a modest uptrend with a positive return of 4.10%, ranging between a low of 473.44 and a high of 521.28. Technical levels show the 20-day moving average at 501.97, the 50-day at 497.02, and the 200-day at 461.80, with the price trading above the short-term average. The 14-day RSI stands at 56.9, in neutral territory, indicating balanced momentum. Key support is at 473.44, while resistance is near 521.28. The Sigmanomics forecast model currently projects a bullish bias for the near term. Updated 5/1/26

Sam Bourgi, Analyst

Sam Bourgi is an analyst, writer and financial market commentator featured in and cited by U.S. Congress, Department of Justice, Chicago Board Options Exchange, Barron's and Forbes. He covers stocks, bonds, mutual funds, ETFs, forex, Bitcoin, cryptocurrency, real estate and macroeconomics. He has written over 25,000 articles and over 40 whitepapers and e-books.